Film · 2015 · Films · 2010s
Badlapur
Scored from 125 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
After his wife and son are killed during a botched bank robbery getaway in Pune, Raghu (Varun Dhawan) is consumed by grief and spends fifteen years plotting revenge against the two criminals responsible. When one of the robbers, Liak (Nawazuddin Siddiqui), is released from prison on medical grounds, Raghu's long-simmering plan to hunt down both men and recover the missing money sets a dark, morally tangled cat-and-mouse game into motion.
Badlapur (2015) is a film IMDb files under the action, crime and drama genres.
125 IMDb reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 141 reviewers with at least two reviews each feeds the raw-average track. 13,058 other films from the 2010s form the cohort it is ranked inside. A second review pool sits behind it as well: 41 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately.
How the score was built
We compare the reviewers of this title against every other title those same people reviewed. Each review is scored relative to the reviewer's own baseline — a 7/10 from a hard grader sits well above their average, while a 7/10 from a generous grader sits below theirs. Every reviewer then counts the same, so the result is a calibrated consensus rather than a raw average.
- Global percentile
- Where Badlapur lands against every title we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — titles of the same format released in the same decade. A 1970s film is judged against 1970s films, not against last year's streaming series. Ranked against Films · 2010s (13,059 titles).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each title keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 125.
Cohort: Films · 2010s
